Implementation of PTS Algorithm for PAPR Reduction in OFDM Systems

We can implement the PTS (Partial Transmit Sequence) algorithm for PAPR (Peak-to-Average Power Ratio) reduction in OFDM systems by varying the number of subcarriers N, allowing us to analyze how different subcarrier counts affect PAPR performance. In this experiment, we will implement the PTS algorithm using different subcarrier configurations and record the PAPR reduction performance for each case. The implementation typically involves MATLAB code that includes key functions such as subcarrier partitioning, phase rotation optimization, and PAPR calculation using complementary cumulative distribution function (CC-DF) plots. We will systematically analyze results from different subcarrier quantities to determine the optimal number of subcarriers, which contributes to optimizing OFDM system performance and minimizing PAPR values. The algorithm implementation involves dividing subcarriers into disjoint blocks, applying phase factors to each block, and selecting the combination that minimizes peak power. Additionally, we will examine how varying subcarrier numbers impact other aspects of OFDM systems, including bandwidth efficiency, data transmission rates, and system complexity. The code structure may include parameters for controlling subcarrier allocation, modulation schemes (e.g., QPSK, 16-QAM), and PTS partitioning strategies. Through these experiments with proper code implementation, we can gain better understanding of OFDM system performance characteristics and optimization methods, providing valuable references for future research in wireless communication systems. The experimental framework allows for testing different phase factor sets and optimization algorithms to achieve optimal PAPR reduction while maintaining reasonable computational complexity.